Building Knowledge Graphs: A Practitioner's Guide (Paperback)
暫譯: 構建知識圖譜：實務者指南 (平裝本)

Barrasa, Jesus, Natarajan, Maya, Webber, Jim

Building Knowledge Graphs: A Practitioner's Guide (Paperback)
  • 出版商: O'Reilly
  • 出版日期: 2023-08-01
  • 定價: $3,150
  • 售價: 9.5 折 $2,993
  • 語言: 英文
  • 頁數: 350
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098127102
  • ISBN-13: 9781098127107
  • 相關分類: NoSQL、大數據 Big-data

    • 立即出貨 (庫存=1)

買這商品的人也買了...

相關主題

商品描述

Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user engagement, and much more. They do so by saving interlinked descriptions of entities (objects, events, situations, or abstract concepts) while encoding the semantics underlying the terminology. How do you create a knowledge graph? And how do you move it from theory into practice?

Using hands-on examples, this practical book shows data scientists and data practitioners how to build their own custom knowledge graphs. Authors Jesus Barrasa, Maya Natarajan, and Jim Webber from Neo4j illustrate patterns commonly used for building knowledge graphs that solve many of today's pressing problems. You'll quickly discover how these graphs become exponentially more useful as you add more data.

  • Learn the organizing principles necessary to build a knowledge graph
  • Explore how graph databases serve as a foundation for knowledge graphs
  • Understand how to import structured and unstructured data into your graph
  • Follow examples to build integration-and-search knowledge graphs
  • Understand what pattern detection knowledge graphs help you accomplish
  • Explore dependency knowledge graphs through examples
  • Use examples of natural language knowledge graphs and chatbots

商品描述(中文翻譯)

在當今的數位時代，知識圖譜極其有用，幫助組織追蹤醫療研究、網路安全威脅情報、GDPR 合規性、網路用戶互動等多個領域。它們通過保存相互連結的實體描述（對象、事件、情況或抽象概念），同時編碼術語背後的語義來實現這一點。那麼，如何創建知識圖譜呢？又如何將其從理論轉化為實踐？

這本實用的書籍使用實際範例，向數據科學家和數據從業者展示如何構建自己的自定義知識圖譜。來自 Neo4j 的作者 Jesus Barrasa、Maya Natarajan 和 Jim Webber 說明了構建知識圖譜的常用模式，這些模式能解決當今許多緊迫的問題。您將迅速發現，隨著您添加更多數據，這些圖譜變得指數級地更有用。

- 學習構建知識圖譜所需的組織原則
- 探索圖形資料庫如何作為知識圖譜的基礎
- 理解如何將結構化和非結構化數據導入您的圖譜
- 跟隨範例構建整合與搜尋知識圖譜
- 理解模式檢測知識圖譜幫助您達成的目標
- 通過範例探索依賴性知識圖譜
- 使用自然語言知識圖譜和聊天機器人的範例

作者簡介

Dr. Jesus Barrasa - Jesus leads the Sales Engineering team in EMEA and is Neo4j's resident expert in Semantic technologies. He co-wrote Knowledge Graphs: Data in Context for Responsive Businesses (O'Reilly Report) and leads the development of Neosemantics (Neo4j plugin for RDF). Prior to joining Neo4j, Jesus worked for data integration companies like Denodo and Ontology Systems(now EXFO) where he got first-hand experience with many successful large Graph Technology projects for major companies all over the world. Jesus' Ph.D. is in Artificial Intelligence/Knowledge Representation, focused on the automatic repurposing of legacy relational data as Knowledge Graphs.

Dr. Maya Natarajan - Maya is Sr Director, Knowledge Graphs. At Neo4j, Maya is responsible for the 'go-to-market' strategy for knowledge graphs. She is the in-house knowledge graph expert and was a major contributor to Knowledge Graphs: Data in Context for Responsive Businesses (O'Reilly Report). Maya has positioned various technologies from blockchain to predictive and user-based analytics to machine learning to deep learning and search in a myriad of industries including Life Sciences, Financial Services, Supply Chain, and Manufacturing at various large and small organizations. Maya has a Ph.D. in Chemical Engineering from Rice University and started her career in biotechnology, where she has five patents to her name.

Dr. Jim Webber - Jim is Neo4j's Chief Scientist and Visiting Professor at Newcastle University, UK. At Neo4j, Jim works on fault-tolerant graph databases and co-wrote Graph Databases (1st and 2nd editions, O'Reilly), Graph Databases for Dummies (Wiley), and Knowledge Graphs: Data in Context for Responsive Businesses (O'Reilly Report). Jim has a long history of work on fault-tolerant distributed systems and often advises customers on issues of scale, performance, and fault tolerance for their data-intensive systems.

作者簡介(中文翻譯)

Dr. Jesus Barrasa - Jesus 負責 EMEA 的銷售工程團隊，是 Neo4j 在語意技術方面的專家。他共同撰寫了《Knowledge Graphs: Data in Context for Responsive Businesses》（O'Reilly Report），並主導 Neosemantics 的開發（Neo4j 的 RDF 插件）。在加入 Neo4j 之前，Jesus 曾在數據整合公司如 Denodo 和 Ontology Systems（現為 EXFO）工作，獲得了許多成功的大型圖形技術專案的第一手經驗，這些專案涉及全球主要公司。Jesus 擁有人工智慧/知識表示的博士學位，專注於將舊有關聯數據自動轉換為知識圖譜。

Dr. Maya Natarajan - Maya 是知識圖譜的高級總監。在 Neo4j，Maya 負責知識圖譜的「市場進入」策略。她是內部的知識圖譜專家，也是《Knowledge Graphs: Data in Context for Responsive Businesses》（O'Reilly Report）的主要貢獻者。Maya 在各種行業中，從區塊鏈到預測分析、用戶基礎分析、機器學習、深度學習和搜索等多種技術，為各大大小組織提供服務，包括生命科學、金融服務、供應鏈和製造業。Maya 擁有萊斯大學的化學工程博士學位，並在生物技術領域開始她的職業生涯，擁有五項專利。

Dr. Jim Webber - Jim 是 Neo4j 的首席科學家及英國紐卡索大學的客座教授。在 Neo4j，Jim 專注於容錯圖形數據庫，並共同撰寫了《Graph Databases》（第一版和第二版，O'Reilly）、《Graph Databases for Dummies》（Wiley）以及《Knowledge Graphs: Data in Context for Responsive Businesses》（O'Reilly Report）。Jim 在容錯分散式系統方面有著悠久的工作歷史，並經常就數據密集型系統的擴展性、性能和容錯問題向客戶提供建議。

類似商品